arXiv (All)
open access
HOPHY: A Hierarchical Hypergraph Representation for Off-Road Path and Mission Planning
Mission-level autonomy for disaster response, search and rescue, and tactical UGV operations requires repeated path and mission planning as terrain conditions, agent types, and objectives change. Pixel-grid search is costly for repeated kilometer-scale queries, while semantic abstractions must maint
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AgenticSwarm: Semantic Perception and Adaptive Task Allocation for Heterogeneous Multi-UAV Missions#1036106
- Concurrent Semantic Search and Mission Execution for LTL Missions in Unknown Environments#1144120
- Spatial-Semantic Reasoning using Large Language Models for Efficient UAV Search Operations#792290
- Spatial-Semantic Reasoning using Large Language Models for Efficient UAV Search Operations#788290
- SIRI-Bench: Challenging VLMs' Spatial Intelligence through Complex Reasoning Tasks#141762
Record · ID 1034494
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive